ShareThe great energy predictor shootout. 2. Measuring retrofit savings.
Author(s) : HABERL J. S., THAMILSERAN S.
Type of article: Article
Summary
Results from the contest show that neural networks again provide the more accurate model of a building's energy use. However, in contrast to the first contest (see also reference 95-1050) the second contest's results show that cleverly assembled statistical models also appear to be as accurate, and more accurate in some cases, than some of the neural network entries.
Details
- Original title: The great energy predictor shootout. 2. Measuring retrofit savings.
- Record ID : 1999-0403
- Languages: English
- Subject: Environment
- Source: ASHRAE Journal - vol. 40 - n. 1
- Publication date: 1998/01
- Document available for consultation in the library of the IIR headquarters only.
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ESTIMATE OF ENERGY CONSUMPTION FOR AIR CONDITIO...
- Author(s) : NANRI H., WADA M., URANO Y.
- Date : 1983
- Languages : Japanese
- Source: Transaction of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan - n. 23
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Does postponed retrofitting save money?
- Author(s) : GUSTAFSSON S. I.
- Date : 1995/07
- Languages : English
- Source: Heat Recov. Syst. CHP - vol. 15 - n. 5
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Energy management using control technology.
- Author(s) : SUTTON S.
- Date : 1994/01
- Languages : English
- Source: AIRAH J. - vol. 48 - n. 1
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Air conditioning and energy efficient buildings...
- Author(s) : FIELD A.
- Date : 1992/06
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- Source: CADDET Energy Effic. Newsl. - n. 2
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Super-efficient buildings: how low can you go?
- Author(s) : TODESCO G.
- Date : 1996/12
- Languages : English
- Source: ASHRAE Journal - vol. 38 - n. 12
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